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Peter
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766eaec
1
Parent(s):
f12c306
:art: organize imports and format
Browse files
app.py
CHANGED
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@@ -3,38 +3,36 @@ app.py - the main file for the app. This creates the flask app and handles the r
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"""
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import torch
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from transformers import pipeline
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from cleantext import clean
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from pathlib import Path
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import warnings
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import time
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import argparse
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import logging
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import gradio as gr
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from gradio.inputs import Slider, Textbox
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import os
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import sys
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from os.path import dirname
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import nltk
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from converse import discussion
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from grammar_improve import (
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detect_propers,
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load_ns_checker,
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neuspell_correct,
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remove_repeated_words,
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remove_trailing_punctuation,
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build_symspell_obj,
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symspeller,
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fix_punct_spacing,
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)
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from utils import (
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cleantxt_wrap,
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corr,
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)
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nltk.download("stopwords") #
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sys.path.append(dirname(dirname(os.path.abspath(__file__))))
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warnings.filterwarnings(action="ignore", message=".*gradient_checkpointing*")
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@@ -197,9 +195,12 @@ if __name__ == "__main__":
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iface = gr.Interface(
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chat,
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inputs=[
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Textbox(
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Slider(
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minimum=0.0, maximum=1.0, step=0.01, default=0.6, label="temperature"
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),
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@@ -219,7 +220,6 @@ if __name__ == "__main__":
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["Are you single?", 0.6, 0.95, 138],
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["Do you like people?", 0.7, 0.95, 25],
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["You never took a short cut before?", 0.7, 0.95, 125],
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-
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],
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title=f"GPT Chatbot Demo: {default_model} Model",
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description=f"A Demo of a Chatbot trained for conversation with humans. Size XL= 1.5B parameters.\n\n"
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"""
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import argparse
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import logging
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import os
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import sys
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import time
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import warnings
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from os.path import dirname
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from pathlib import Path
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import gradio as gr
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import nltk
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import torch
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from cleantext import clean
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from gradio.inputs import Slider, Textbox
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from transformers import pipeline
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from converse import discussion
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from grammar_improve import (
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build_symspell_obj,
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detect_propers,
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fix_punct_spacing,
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load_ns_checker,
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neuspell_correct,
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remove_repeated_words,
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remove_trailing_punctuation,
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symspeller,
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)
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from utils import corr
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nltk.download("stopwords") # download stopwords
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sys.path.append(dirname(dirname(os.path.abspath(__file__))))
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warnings.filterwarnings(action="ignore", message=".*gradient_checkpointing*")
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iface = gr.Interface(
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chat,
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inputs=[
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Textbox(
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default="Why is everyone here eating chocolate cake?",
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label="prompt_message",
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placeholder="Enter a question",
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lines=2,
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),
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Slider(
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minimum=0.0, maximum=1.0, step=0.01, default=0.6, label="temperature"
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),
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["Are you single?", 0.6, 0.95, 138],
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["Do you like people?", 0.7, 0.95, 25],
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["You never took a short cut before?", 0.7, 0.95, 125],
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],
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title=f"GPT Chatbot Demo: {default_model} Model",
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description=f"A Demo of a Chatbot trained for conversation with humans. Size XL= 1.5B parameters.\n\n"
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